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SEO Research Suite database: Hundreds of SEO and LLMO related papers and patents (Google, Microsoft, OpenAI) ... every SEO should know!

Here you can find a database of hundreds of search related active patents and papers. The patents and papers are tagged by SEO and LLMO/GEO related topics, steps of the information retrieval process and the probabilty they could be used nowadays or in the future.


You can navigate and filter the analysis by the internal search or by the tags. It is possible to combine the tags.


Subscribe to my newsletter or follow my RSS feed to make sure you don’t miss any new patents and papers.

To read the full patent and paper analysis and full usage of the SEO Research Suite including AI research assistants you have to sign up for a monthly or yearly membership.

I am very grateful if you support and motivate me and this project with a paid membership, recommendation, reference …

 

Your advantages as a SEO Research Suite member:

  • Access to the full exclusive paid articles in the blog.
  • Insights of hundreds active Microsoft, OpenAI and Google patents and resesearch papers about how search engines and LLMs work.
  • Save a lot of time and get insights in just a few minutes, without having to spend hours analyzing the documents.
  • Get quick exclusive insights about how search engines and Google could work  with easy to understand summaries and analysis.
  • Google patents and research papers summarized from a SEO / LLMO perspective.
  • New documents and summaries every month.
  • All patents tagged by topic and important authors for quick and targeted research.
  • Use the AI Research Tools to gain insights in seconds from all documents in the database, the Google API Leak, Quality Rater Guidelines, Antitrust trial, Google developer documentation …
  • Gain fundamental insights for your SEO and LLMO / GEO work and become a real thought leader.
Get the monthly or yearly SEO thought leader membership and get full access to the SEO Research Suite now!

320 Patents & Papers in this database now

E-E-A-T (52)
Semantic Search (73)
Knowledge Graph (47)
Probably in use (85)
Marc Najork (11)
Local Search (12)
Image Search (11)
Retrieval Augmented Generation (RAG) (38)
LLMO / GEO (79)
OpenAI / ChatGPT (5)
AI Mode (26)
Chunk Relevance (21)
Query Fan Out (24)
Paul Haahr (10)
Prompt Engineering (5)
Krisztian Balog (3)
Microsoft (17)
Reranking (34)
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AI (Deep Learning) (112)AI Mode (26)AIOverviews (37)Anna Lynn Patterson (6)Backlinks (27)Chunk Relevance (21)Dan Popovici (4)Data Mining (26)Deepseek (1)Document Classification (38)E-E-A-T (52)Entity based search (62)Featured Snippets (6)Freshness (11)Gemini (3)Graph RAG (9)Image Search (11)Indexing (27)Information Gain (6)Jeff Dean (11)Know (1)Knowledge Graph (47)Krisztian Balog (3)Learning-to-rank (5)LLM Readability (20)LLMO / GEO (79)Local Search (12)Marc Najork (11)Microsoft (17)Navboost (9)Navneet Panda (7)News and Discover (3)Nitin Gupta (6)OpenAI / ChatGPT (5)Passage based retrieval (21)Paul Haahr (10)Personalization (20)Phrase based Indexing (9)Probably in use (85)Prompt Engineering (5)Query Fan Out (24)Ranking (128)Reranking (34)Retrieval Augmented Generation (RAG) (38)S (1)Scoring (60)Search Intent (36)Search Query Processing (81)Semantic Search (73)SERP Serving (Tangram/Glue) (5)SERP-Features (19)Shopping (5)User Signals (60)Video Search (4)Xin Luna Dong (5)

A patent application does not mean that the methods described there will find its way into practice in the search engines. An indication of whether a methodology/technology is so interesting for Google that it could find its way into practice can be obtained by checking whether the patent is pending only in the US or other countries. The claim for a patent priority for other countries must be made 12 months after the first filing.Regardless of whether a patent finds its way into practice, it makes sense to deal with Google patents, as you get an indication of the topics and challenges that product developers at Google and other search engines are dealing with.

Only for SEO Research Suite member

Augmented resource graph for scoring resources

This patent describes a method and system for scoring and ranking resources (such as web pages, documents, and other online content) in search engine results. The core of the innovation read more

Only for SEO Research Suite member

Context-Based Person Search

This patent describes technologies related to identifying and disambiguating individual person names from a set of digital resources returned in a search query. The primary aim is to improve search read more

Placeholder Only for SEO Research Suite member

Refining search results

The patent describes a computer-implemented method for enhancing the process of refining search results based on the analysis of user queries and search sessions. It focuses on receiving data that read more

Placeholder Only for SEO Research Suite member

Document Scoring Based on Document Content Update

This patent, titled “Document Scoring Based on Document Content Update” focuses on a system for determining a document’s score based on how its content changes over time. The primary objective read more

Placeholder Only for SEO Research Suite member

Recent interest based relevance scoring

The patent describes a computer-implemented method for processing query information that involves receiving previous and current queries within a certain period from a search requester. It includes receiving search results read more

Placeholder Only for SEO Research Suite member

Providing search results based on a compositional query

The patent describes a sophisticated method for improving search results by deeply understanding and processing compositional queries through the use of knowledge graphs and detailed attribute comparison. This advancement could read more

Placeholder Only for SEO Research Suite member

Training Image and Text Embedding Models

The patent focusing on the advancement of search technologies through the integration of image and text analysis. This method aims to enhance search systems by training models to understand and read more

Placeholder Only for SEO Research Suite member

Predicting intent of a search for a particular context

The patent focuses on a method for predicting the intent of a user’s search query within a specific context and subsequently adjusting search results to emphasize information that satisfies this read more

Only for SEO Research Suite member

Classifying documents using multiple classifiers

This patent outlines a method and system for classifying documents by combining scores from multiple classifiers. Each classifier evaluates a document against a specified property (e.g., the relevance of content read more

Only for SEO Research Suite member

Modifying search result ranking based on corpus search statistics

The patent details methods, systems, and apparatus, including computer programs, for ranking search results of a query using search statistics across different corpora. It involves determining the relevance of various read more

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